#cmake #bootstrap #c #ci #clang_format #codecov #continuous_integration #coverage #cpp #dependency_manager #free #github_workflows #modern_cmake #modern_cmake_template #open_source #starter #template

https://github.com/TheLartians/ModernCppStarter

#go #argo #argo_cd #cd #ci_cd #cicd #continuous_delivery #continuous_deployment #devops #docker #gitops #helm #ksonnet #kubernetes #pipeline

https://github.com/argoproj/argo-cd

#shell #actions #ci #linter #quality_check

https://github.com/github/super-linter

#go #docker #kubernetes #golang #devops #microservice #containers #ci_cd #apm #cmp

https://github.com/erda-project/erda

#go #github #lint #cli #gitlab #static_code_analysis #ci #linter #static_analysis #bitbucket #code_review #code_quality #codereview

https://github.com/reviewdog/reviewdog

#other #ai #ansible #bash #cheat_sheet #cheat_sheets #cheatsheet #ci_cd #devops_tools #docker #jenkins #linux #nginx #pdf #powershell #python #redis #regex #regular_expression #slack #vim

https://github.com/sk3pp3r/cheat-sheet-pdf

#other #automation #awesome #awesome_list #aws #azure #ci_cd #cloud #containers #cybersecurity #devops #devsecops #docker #gcp #k8s #kubernetes #security #serverless #ssdlc #tool

https://github.com/sottlmarek/DevSecOps

#go #ci #ci_cd #cicd #database #database_migration #database_migrations #database_schema #database_schema_evolutions #database_schema_migration #pgsql #postgres #postgresql #sql

https://github.com/postgres-ai/database-lab-engine

#other #ci_cd #cloud #cloud_computing #cloud_native #devops #docker #infrastructure #interview_preparation #k3s #kubernetes #linux #monitoring #networking #testing #tools

https://github.com/kunal-kushwaha/DevOps-Bootcamp

#shell #actions #change_detection #change_directory #changed #changed_file #changedetection #ci #ci_cd #continuous_integration #github #github_action #github_actions #github_actions_ci #modified #modified_files #monorepo #regex_match #request_review #submodules #workflows

https://github.com/tj-actions/changed-files

#go #argocd #bash_script #ci_cd #devops #docker #git #github_actions #gitops #grafana #helm #jenkins #kubernetes #linux #networking #portainer #prometheus #yaml

https://github.com/Pradumnasaraf/DevOps

#typescript #auth #boilerplate #ci #crud #database #docker #e2e #i18n #nestjs #nestjs_boilerplate #nodejs #seed #sign #swagger #typeorm

https://github.com/brocoders/nestjs-boilerplate

#typescript #change_detection #ci_cd #conditional_execution #github_actions

https://github.com/dorny/paths-filter

#swift #apple_silicon #automation #ci #macos #tart #virtualization #virtualization_framework

https://github.com/cirruslabs/tart

#typescript #cd #ci #git #gitlab #gitlab_ci #local #pipeline #push #uncomitted #untracked

You can run GitLab CI pipelines locally using `gitlab-ci-local`, which saves you time and effort by not having to push changes to test your `.gitlab-ci.yml` files. This tool allows you to execute pipelines as a shell executor or docker executor, eliminating the need for development-specific scripts. It also offers convenience features like CLI options, environment files, bash aliases, and tab completion. You can list pipeline jobs before running them and customize variables and artifacts easily. This makes your development process more efficient and streamlined.

https://github.com/firecow/gitlab-ci-local

#go #ci #devops #github_actions #golang

Using `act` allows you to run your GitHub Actions locally, which is very useful. Here’s why: You get fast feedback because you don’t have to commit and push your changes every time you want to test them. Instead, you can test your workflow files locally, saving time. Additionally, `act` can replace your `Makefile` by using the GitHub Actions defined in your project, so you don’t have to repeat tasks. This makes your development process faster and more efficient.

https://github.com/nektos/act

#go #agents #ai #caching #ci_cd #containers #continuous_deployment #continuous_integration #dag #dagger #devops #docker #graphql #workflows

Dagger is a tool that helps make workflows easier to manage. It lets you break down complex tasks into smaller, reusable parts that can run in different environments. This means you can work with many languages and tools without worrying about compatibility issues. Dagger also helps you see what's happening in your workflows, making it easier to fix problems. It saves time and money by caching results, so you don't have to redo tasks. Overall, Dagger makes it simpler to build and manage workflows, especially for AI and software development tasks.

https://github.com/dagger/dagger

#typescript #ci #ci_cd #cicd #evaluation #evaluation_framework #llm #llm_eval #llm_evaluation #llm_evaluation_framework #llmops #pentesting #prompt_engineering #prompt_testing #prompts #rag #red_teaming #testing #vulnerability_scanners

Promptfoo is a tool that helps developers test and improve AI applications using Large Language Models (LLMs). It allows you to **test prompts and models** automatically, **secure your apps** by finding vulnerabilities, and **compare different models** side-by-side. You can use it on your computer or integrate it into your development workflow. This tool helps you make sure your AI apps work well and are secure before you release them. It saves time and ensures quality by using data instead of guessing.

https://github.com/promptfoo/promptfoo

#swift #ci #cli #generator #specification #swift #xcode #xcodeproj #xcodeproject #yaml

XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup.

https://github.com/yonaskolb/XcodeGen